I am a graduate student working on a method called filter diagonalization
method. In this method, we need to solve a generalized eigenvalue problem.
Both the eigenvalues and eigenvectors are important. However, it seems
that the eigenvectors computed are less accurate the eigenvalues. This is
reasonable as most eigenvalue solvers do not optimize the eigenvectors (I
have tried CG and QZ among others in the LAPACK library). My question is
that: is there any method which can provide "optimized eigenvectors"? or
is there any way to improve the eigenvector after the eigenvalues are
obtained? thank you very much.

Announcing the first journal to provide a comprehensive forum for
multiscale research.

Centered around multiscale phenomena, Multiscale Modeling and
Simulation (MMS) is an interdisciplinary journal focusing on the
fundamental modeling and computational principles underlying various
multiscale methods. Featuring a distinguished, international editorial
board, MMS publishes new ideas and methodologies that can be used in
various application fields. Particularly emphasized is the interplay
between analysis and modeling, modeling and simulation, and
mathematics and various applications.

By its nature, multiscale modeling is highly interdisciplinary, with
developments occurring independently across fields. A broad range of
scientific and engineering problems involve multiple scales.
Traditional monoscale approaches have proven to be inadequate, even
with the largest supercomputers, because of the range of scales and
the prohibitively large number of variables involved. Thus, there is a
growing need to develop systematic modeling and simulation approaches
for multiscale problems. MMS will provide a single broad,
authoritative source for results in this area.

The Office of Advanced Scientific Computing Research (ASCR) of the Office of
Science (SC), U.S. Department of Energy (DOE), hereby announces its interest
in receiving applications for grants in support of its Early Career
Principal Investigator Program. The purpose of this program is to support
research in applied mathematics, computer science and networks performed by
exceptionally talented scientists and engineers early in their careers. The
full text of Program Notice 02-16 is available via the Internet using the
following web site address:
http://www.science.doe.gov/production/grants/grants.html

IMPORTANT NOTICE: Eligibility for awards under this notice is restricted to
tenure-track regular academic faculty investigators, who are no more than
five years beyond completing either a Ph.D., or equivalent, or a
postdoctoral position, and are conducting research in applied mathematics,
computer science, or high-performance networks. Applications should be
submitted through a U.S. academic institution. Applicants should request
support under this notice for normal research project costs as required to
conduct their proposed research activities. However, no salary support will
be provided for other faculty members or senior personnel.

DATES: To permit timely consideration for award in Fiscal Year 2002,
completed applications in response to this notice should be received by
April 17, 2002, to be accepted for merit review and funding in Fiscal Year
2002.

ADDRESS: Completed applications referencing Program Notice 02-16, should be
forwarded to: U.S. Department of Energy, Office of Science, Grants and
Contracts Division, SC-64, 19901 Germantown Road, Germantown, MD 20874-1290,
ATTN: Program Notice 02-16. This address must be used when submitting
applications by U.S. Postal Service Express Mail or any commercial mail
delivery service, or when hand-carried by the applicant. An original and
seven copies of the application must be submitted.

Check the link: http://www.research.att.com/~mgcr/hao.html for
table of contents, list of contributors, and ordering information.

Optimization is a basic tool in applied research, engineering, business,
and the sciences. In the last decade, algorithmic advances as well as
hardware and software improvements have provided an excellent framework
on which to build optimization-based decision support systems, as well
as multidiscipline design tools. Despite the dynamic state of applied
optimization, we feel that the time is ripe to bring together in one
volume the major algorithmic and software advances in this field. Leading
experts in applied optimization have contributed to this volume.

The Handbook of Applied Optimization is aimed at engineers, scientists,
operations researchers, and other applications specialists who are looking
for the most appropriate and recent optimization tools to solve particular
problems. The handbook provides a broad spectrum of advances in applied
optimization with a focus on the algorithmic and computational aspects
of this field.

The handbook consists of three main parts: algorithms, applications,
and software. In the algorithms section of the handbook, the important
algorithms in the major fields of optimization are described. The
purpose of the section on applications is to provide the practitioner
with a description of the relevant optimization issues in a number
of specific application areas. We include overview articles discussing
broad problem types, such as scheduling, vehicle routing, network design,
bin packing, inventory management, travelling salesman, satisfiability,
location, and assignment problems, as well as some examples of applied
optimization in specific areas. These applications cover a broad spectrum
of fields, such as transportation, agriculture, manufacturing, aerospace,
telecommunications, energy, biology, finance, and the environment. In
the software section of the handbook, the tools of applied optimization
are described, with an emphasis on practical details: how to implement
and test optimization algorithms, use existing optimization packages and
the Internet, and use modelling languages to build optimization systems.

Check the link: http://www.research.att.com/~mgcr/hao.html for
table of contents, list of contributors, and ordering information.

Description:
The aim of Industrial Mathematics is to focus Applicable Mathematics on the
solution of real life problems of industry. Successful activities in Industrial
Mathematics have been reported from the aerospace, automotive, petrochemical
chemical, metallurgical, pharmaceutical, financial, agricultural and health
industries. The workshop will include keynote addresses, contributed papers
and will provide a forum for cooperation between Universities and the various
industrial organizations in the Gulf countries.

Following the success of the DCABES2001 I would like to annouce the
organisation and call for papers for DCABES2002. Please distribute this
announcement to your colleagues who might be interested. This will be a
major international event in the year 2002 in China.

The objective of this conference will be to present, discuss, and
explore latest technical developments in the emerging field of pervasive
computing as well as potential future directions and issues. Leaving
aside low-level hardware and transmission technology topics as well as
peripheral socio-economic aspects, the conference will focus on technical
infrastructure and application issues. It will include presentations,
panel discussions, short paper sessions, and demos on subjects like:

On the web pages you will find the clickable programme of the 2002
International Conference on Computational Science (ICCS 2002), to be held in
Amsterdam, The Netherlands, from April 21, 2002 till April 24, 2002.

After thorough reviews, we succeeded in compiling a very interesting and
high quality programme with over 350 oral presentations in 26 conference
sessions and 20 workshops.

This is the tenth symposium in a series which started with three
meetings in year 1996, two meetings in 1997 and then turned to a
yearly event in 1998. It has become tradition to hold the meeting
jointly with an event in either symbolic computation or automated
deduction. This year's symposium is in conjunction with the AISC'2002
conference in Artificial Intelligence and Symbolic Computation.

The aim of the symposium is to bring together researchers interested
in both symbolic computation and mechanized reasoning. It has been
recognized that the integration of computing and deduction would
enhance the power of mathematical software systems. However it is not
yet clear which is the right way to achieve such an integration. The
symposium provides a forum for discussing and investigating the
various approaches possible including integration of reasoning into
computer algebra systems, integration of efficient computations in
theorem provers, and frameworks, languages, or protocols for
integrating both symbolic computation and mechanized reasoning. Other
topics of interest include the integration of constraint solving
techniques into both theorem provers and computer algebra systems,
environments for hybrid mathematical systems and systems for
explorative mathematics.

Papers on other topics with strong links to those described above will
also be considered. Authors that wish to present material relating
other AI techniques and symbolic computation should consider
submitting with AISC. Authors are also encouraged to submit different
material to both AISC and CALCULEMUS.

Organizers of AISC'2002 / CALCULEMUS'2002

Both AISC'2002 and CALCULEMUS'2002 are organized by the three
Universities of Marseille: L'universite de Provence (Aix-Marseille I),
L'universite de la Miditerrann

Positions:
(1) PhD position in experimental Combustion/Fluid Dynamics at the
Department of Mechanical Engineering, Combustion Technology Group
(2) PhD position in numerical Combustion/Fluid Dynamics at the
Department of Mathematics and Computing Science, Scientific Computing Group

The Interdisciplinary Center for Scientific Computing at the
University of Heidelberg (Germany) offers a doctoral position in

Simulation of Multiphase/Multicomponent Flows in
Porous Media

The position is part of a joint project with the Institute for
Environmental Physics through the Sonderforschungsbereich 359. Aim of
the project is the development of accurate discretization schemes for
multiphase/multicomponent flows, their implementation and comparison
with experimental results for the dissolution of trace gases in
water.

Applicants should have completed a Masters or Diploma degree in a
relevant field. Strong background in scientific computing (partial
differential equations) and programming (C/C++) is required.

The position is available for three years and is paid at a level of
3/4 BAT IIa (about EURO 1350 per month net income depending on age and
maritial status).

Parallel Computing: Special Issue on
PARALLEL AND DISTRIBUTED COMPUTING IN NUMERICAL OPTIMIZATION

Guest editors
Vipin Kumar, Athanasios Migdalas, and Gerardo Toraldo

This special issue follows the September 2001 ``PARCO-2001 Conference''
held in Naples, Italy, and will include papers presented at the ``Mini
Symposium on Numerical Optimization'' held during that conference as well
as a selected number of contributed papers in the following non-exclusive
topics:
* parallel algorithms for scientific computing problems,
* evaluation of scalability of parallel algorithms,
* basic tools,
* data mining,
* applications.

Researchers interested in submitting a paper are invited to send the
LaTeX source and PostScript files of their paper to toraldo@unina.it by
March 25 for possible publication in the special issue.

I would like to inform you about the appearance of the fourth issue of
COMPUTATIONAL METHODS IN APPLIED MATHEMATICS (Online) at our site
(http://www.cmam.net/issues/v1/n4/index.html) Vol. 1, No. 4, 2001.

IMPORTANT NOTICE: During 2002 year the journal CMAM will be available at our
home page http://www.cmam.net at no charge.
For information to contributors and about subscription see:
http://www.cmam.net/subscript.html.